Journal
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
Volume 148, Issue 6, Pages -Publisher
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)WR.1943-5452.0001558
Keywords
Data-driven approach; Hydraulic model; Empirical mode decomposition; Time series decomposition; Multiscale difference operation
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Funding
- National Natural Science Foundation of China [51879139]
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This paper presents a novel framework for multiple overlapping leak detection and isolation in the water distribution system, which can detect leaks quickly and accurately and locate the leak hotspots.
Hydraulic accidents or abnormal situations, also known as leakages, cause not only water losses but also service interruptions and other negative effects. To facilitate the rapid response of water utilities and reduce water losses caused by undiscovered leakages, a timely, efficient, and accurate detection method is required. This paper describes a novel framework for multiple overlapping leak detection and isolation in the water distribution system. The proposed method has three stages: an estimation stage to extract leak-induced data from the huge monitoring data, an identification stage to detect the presence of overlapping leaks from multiscale difference series, and a localization stage to pinpoint the leak hotspots. The proposed method detects seven leakages in real-life networks and localizes 16 overlapping leakages with an economic score of (sic)167,981 in L-town 2019. Comparisons show that the framework can accurately detect it in a fast response time and effectively localize the leaking pipeline with good applicability. (C) 2022 American Society of Civil Engineers.
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